Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives

Making a decision usually means selecting one from different alternatives to solve a problem according to a set of criteria. Multicriteria analysis usually offers a quantitative approach to ease decision-making by ranking the alternatives. However, uncertainty can arise when rating the importance of...

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Autores: Juanpera Gallel, Marc|||0000-0003-0970-7953, Domenech Léga, Bruno|||0000-0002-4332-2400, Ferrer Martí, Laia|||0000-0003-0606-3523, García Villoria, Alberto|||0000-0003-4048-2465, Pastor Moreno, Rafael|||0000-0002-6188-4458
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/364239
Acceso en línea:https://hdl.handle.net/2117/364239
https://dx.doi.org/10.1016/j.fss.2021.08.008
Access Level:acceso abierto
Palabra clave:Multiple criteria decision making
Multicriteria decision-making
MIMDU methodology
Fuzzy rating scales
Confidence
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses
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spelling Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternativesJuanpera Gallel, Marc|||0000-0003-0970-7953Domenech Léga, Bruno|||0000-0002-4332-2400Ferrer Martí, Laia|||0000-0003-0606-3523García Villoria, Alberto|||0000-0003-4048-2465Pastor Moreno, Rafael|||0000-0002-6188-4458Multiple criteria decision makingMulticriteria decision-makingMIMDU methodologyFuzzy rating scalesConfidenceDecisió multicriteriÀrees temàtiques de la UPC::Economia i organització d'empresesMaking a decision usually means selecting one from different alternatives to solve a problem according to a set of criteria. Multicriteria analysis usually offers a quantitative approach to ease decision-making by ranking the alternatives. However, uncertainty can arise when rating the importance of criteria and the adequacy of each alternative for each criterion, due to two factors: first, answers are usually expressed in linguistic terms that do not have a unique quantification; and second, there might be a lack of confidence in the response. Most multicriteria procedures combine fuzzy numbers and linguistic scales to deal with the first factor, but underestimate confidence issues. In this context, this work develops a Methodology for Integrated Multicriteria Decision-making with Uncertainty (MIMDU), which considers both factors of uncertainty. MIMDU is structured in three phases: (1) a novel procedure based on fuzzy rating scales to model uncertain opinions; (2) a fuzzy formulation of the compromised ranking method to rank the alternatives; and (3) a systematic procedure for results’ interpretation comparing a crisp ranking (without uncertainty) and a fuzzy-based ranking (with uncertainty). The methodology is illustrated with a generic example case, aiming to prove its potential application in any sector. Results show that MIMDU helps decision-makers to choose the most reliable alternative, since significant differences in ranking with and without uncertainty can be addressed. A sensitivity analysis is carried out to bare the effect of confidence in the alternatives evaluation, concluding that worse rankings are obtained for alternatives that are less confidently evaluated. A final comparison with the standard fuzzy VIKOR method shows MIMDU’s major preciseness in modelling non-confident opinions and providing more useful and complimentary information to better assist decision-making.Peer Reviewed20212021-08-0120222022-03-16journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/364239https://dx.doi.org/10.1016/j.fss.2021.08.008reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-097962-B-I00 OPTIMIZACION DE MICRORREDES CON ENERGIAS RENOVABLES BAJO INCERTIDUMBRE Y FUTURA INTEGRACION A LA REDopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3642392026-05-27T15:37:01Z
dc.title.none.fl_str_mv Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
title Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
spellingShingle Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
Juanpera Gallel, Marc|||0000-0003-0970-7953
Multiple criteria decision making
Multicriteria decision-making
MIMDU methodology
Fuzzy rating scales
Confidence
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses
title_short Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
title_full Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
title_fullStr Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
title_full_unstemmed Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
title_sort Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives
dc.creator.none.fl_str_mv Juanpera Gallel, Marc|||0000-0003-0970-7953
Domenech Léga, Bruno|||0000-0002-4332-2400
Ferrer Martí, Laia|||0000-0003-0606-3523
García Villoria, Alberto|||0000-0003-4048-2465
Pastor Moreno, Rafael|||0000-0002-6188-4458
author Juanpera Gallel, Marc|||0000-0003-0970-7953
author_facet Juanpera Gallel, Marc|||0000-0003-0970-7953
Domenech Léga, Bruno|||0000-0002-4332-2400
Ferrer Martí, Laia|||0000-0003-0606-3523
García Villoria, Alberto|||0000-0003-4048-2465
Pastor Moreno, Rafael|||0000-0002-6188-4458
author_role author
author2 Domenech Léga, Bruno|||0000-0002-4332-2400
Ferrer Martí, Laia|||0000-0003-0606-3523
García Villoria, Alberto|||0000-0003-4048-2465
Pastor Moreno, Rafael|||0000-0002-6188-4458
author2_role author
author
author
author
dc.subject.none.fl_str_mv Multiple criteria decision making
Multicriteria decision-making
MIMDU methodology
Fuzzy rating scales
Confidence
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses
topic Multiple criteria decision making
Multicriteria decision-making
MIMDU methodology
Fuzzy rating scales
Confidence
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses
description Making a decision usually means selecting one from different alternatives to solve a problem according to a set of criteria. Multicriteria analysis usually offers a quantitative approach to ease decision-making by ranking the alternatives. However, uncertainty can arise when rating the importance of criteria and the adequacy of each alternative for each criterion, due to two factors: first, answers are usually expressed in linguistic terms that do not have a unique quantification; and second, there might be a lack of confidence in the response. Most multicriteria procedures combine fuzzy numbers and linguistic scales to deal with the first factor, but underestimate confidence issues. In this context, this work develops a Methodology for Integrated Multicriteria Decision-making with Uncertainty (MIMDU), which considers both factors of uncertainty. MIMDU is structured in three phases: (1) a novel procedure based on fuzzy rating scales to model uncertain opinions; (2) a fuzzy formulation of the compromised ranking method to rank the alternatives; and (3) a systematic procedure for results’ interpretation comparing a crisp ranking (without uncertainty) and a fuzzy-based ranking (with uncertainty). The methodology is illustrated with a generic example case, aiming to prove its potential application in any sector. Results show that MIMDU helps decision-makers to choose the most reliable alternative, since significant differences in ranking with and without uncertainty can be addressed. A sensitivity analysis is carried out to bare the effect of confidence in the alternatives evaluation, concluding that worse rankings are obtained for alternatives that are less confidently evaluated. A final comparison with the standard fuzzy VIKOR method shows MIMDU’s major preciseness in modelling non-confident opinions and providing more useful and complimentary information to better assist decision-making.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-08-01
2022
2022-03-16
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/364239
https://dx.doi.org/10.1016/j.fss.2021.08.008
url https://hdl.handle.net/2117/364239
https://dx.doi.org/10.1016/j.fss.2021.08.008
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-097962-B-I00 OPTIMIZACION DE MICRORREDES CON ENERGIAS RENOVABLES BAJO INCERTIDUMBRE Y FUTURA INTEGRACION A LA RED
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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